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Related Concept Videos

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Purpose of Health Records II

Health records serve various essential purposes in the healthcare system. Here are some key purposes:
Purpose of Health Records I01:11

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Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
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Related Experiment Video

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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Collaborative search in electronic health records.

Kai Zheng1, Qiaozhu Mei, David A Hanauer

  • 1School of Public Health Department of Health Management and Policy, The University of Michigan, Ann Arbor, Michigan, USA. kzheng@umich.edu

Journal of the American Medical Informatics Association : JAMIA
|April 14, 2011
PubMed
Summary
This summary is machine-generated.

Collaborative search in electronic health records (EHR) enhances information retrieval by enabling users to share search knowledge, improving efficiency and quality for healthcare professionals.

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Area of Science:

  • Health Informatics
  • Information Science
  • Social Computing

Background:

  • Electronic health records (EHR) contain valuable unstructured narrative data.
  • Limited user search expertise and medical knowledge hinder effective EHR data utilization.
  • Social information-foraging techniques can leverage collective wisdom for better information retrieval.

Purpose of the Study:

  • To evaluate a 'collaborative search' feature integrated into a homegrown EHR search engine.
  • To assess the potential of sharing search knowledge to overcome user expertise barriers.
  • To investigate the role of social networks in diffusing search knowledge.

Main Methods:

  • An empirical evaluation study was conducted over four years.
  • A user sample of 451 academic researchers, medical practitioners, and hospital administrators participated.
  • Social-network analysis was employed to map user collaboration networks and knowledge diffusion.

Main Results:

  • Users showed high enthusiasm for the collaborative search feature.
  • Approximately 0.44 million EHR searches utilized stored personal search knowledge.
  • An additional 0.16 million searches benefited from knowledge shared by other users.
  • Social network analysis confirmed the feature's role in transferring search knowledge across individuals and domains.

Conclusions:

  • Collaborative search, inspired by web-based social information-foraging, shows promise for healthcare.
  • This approach can significantly improve the quality and efficiency of information retrieval from EHRs.
  • Leveraging collective intelligence can mitigate challenges associated with EHR data access and utilization.